End of training

README.md

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+---
+language:
+- ymr
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: leenag/Malasar_Dict
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# leenag/Malasar_Dict
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0136
+- Wer: 6.4752
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0424        | 0.64  | 250  | 0.0426          | 19.6509 |
+| 0.0247        | 1.28  | 500  | 0.0276          | 12.7252 |
+| 0.0184        | 1.92  | 750  | 0.0254          | 13.8514 |
+| 0.0077        | 2.56  | 1000 | 0.0152          | 7.2072  |
+| 0.005         | 3.21  | 1250 | 0.0139          | 6.9257  |
+| 0.0032        | 3.85  | 1500 | 0.0149          | 6.9257  |
+| 0.0025        | 4.49  | 1750 | 0.0145          | 6.7005  |
+| 0.0009        | 5.13  | 2000 | 0.0136          | 6.4752  |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.15.0

generation_config.json

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+}